Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Dmitrii Lachinov"'
Autor:
Julia Mai, Dmitrii Lachinov, Sophie Riedl, Gregor S. Reiter, Wolf-Dieter Vogl, Hrvoje Bogunovic, Ursula Schmidt-Erfurth
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-11 (2023)
Abstract Geographic atrophy (GA) represents a late stage of age-related macular degeneration, which leads to irreversible vision loss. With the first successful therapeutic approach, namely complement inhibition, huge numbers of patients will have to
Externí odkaz:
https://doaj.org/article/279df9754cdc4957b46f1794ec381352
Autor:
Botond Fazekas, Dmitrii Lachinov, Guilherme Aresta, Julia Mai, Ursula Schmidt-Erfurth, Hrvoje Bogunovic
Publikováno v:
IEEE Journal of Biomedical and Health Informatics. 27:41-52
Bruch's membrane (BM) segmentation on optical coherence tomography (OCT) is a pivotal step for the diagnosis and follow-up of age-related macular degeneration (AMD), one of the leading causes of blindness in the developed world. Automated BM segmenta
Autor:
Sophie Riedl, Wolf-Dieter Vogl, Julia Mai, Gregor S. Reiter, Dmitrii Lachinov, Christoph Grechenig, Alex McKeown, Lukas Scheibler, Hrvoje Bogunović, Ursula Schmidt-Erfurth
Publikováno v:
Ophthalmology Retina. 6:1009-1018
To investigate the therapeutic effect of intravitreal pegcetacoplan on the inhibition of photoreceptor (PR) loss and thinning in geographic atrophy (GA) on conventional spectral-domain OCT (SD-OCT) imaging by deep learning-based automated PR quantifi
Autor:
Ursula Schmidt-Erfurth, Wolf-Dieter Vogl, Sophie Riedl, Julia Mai, Gregor S. Reiter, Dmitrii Lachinov, Hrvoje Bogunovic
Publikováno v:
Ophthalmology Retina.
Autor:
Leonard M. Coulibaly, Gregor S. Reiter, Philipp Fuchs, Dmitrii Lachinov, Oliver Leingang, Wolf-Dieter Vogl, Hrvoje Bogunovic, Ursula Schmidt-Erfurth
Publikováno v:
Ophthalmology Retina.
Autor:
Wolf-Dieter Vogl, Sophie Riedl, Julia Mai, Gregor S. Reiter, Dmitrii Lachinov, Hrvoje Bogunović, Ursula Schmidt-Erfurth
Publikováno v:
Ophthalmology. Retina. 7(1)
To identify disease activity and effects of intravitreal pegcetacoplan treatment on the topographic progression of geographic atrophy (GA) secondary to age-related macular degeneration quantified in spectral-domain OCT (SD-OCT) by automated deep lear
Autor:
Julia Mai, Sophie Riedl, Gregor S. Reiter, Dmitrii Lachinov, Wolf-Dieter Vogl, Hrvoje Bogunovic, Ursula Schmidt-Erfurth
Publikováno v:
American journal of ophthalmology. 244
To perform an optical coherence tomography (OCT)-based analysis of geographic atrophy (GA) progression in patients treated with pegcetacoplan.Post hoc analysis of a phase 2 multicenter, randomized, sham-controlled trial.Manual annotation of retinal p
Publikováno v:
Pattern Recognition and Image Analysis. 30:512-522
In this paper, we address the problem of automatic three-dimensional cephalometric analysis. Cephalometric analysis performed on lateral radiographs doesn’t fully exploit the structure of 3D objects due to projection onto the lateral plane. With th
Autor:
Botond Fazekas, Guilherme Aresta, Dmitrii Lachinov, Sophie Riedl, Julia Mai, Ursula Schmidt-Erfurth, Hrvoje Bogunović
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031164514
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7df91327a306e654e3a8d102ba433f38
https://doi.org/10.1007/978-3-031-16452-1_31
https://doi.org/10.1007/978-3-031-16452-1_31
Autor:
Savas Ozkan, N. Sinem Gezer, Dmitrii Lachinov, Debdoot Sheet, Fabian Isensee, Gozde Bozdagi Akar, M. Alper Selver, Soumick Chatterjee, Oliver Speck, A. Emre Kavur, Sinem Aslan, Josef Pauli, Oğuz Dicle, Gozde Unal, Pierre-Henri Conze, Andreas Nürnberger, Klaus H. Maier-Hein, Gurbandurdy Dovletov, Ronnie Rajan, Vladimir Groza, Rachana Sathish, Bora Baydar, Matthias Perkonigg, Shuo Han, Philipp Ernst, Duc Duy Pham, Mustafa Baris
Publikováno v:
Medical Image Analysis
Medical Image Analysis, Elsevier, 2021, 69, ⟨10.1016/j.media.2020.101950⟩
Medical Image Analysis, Elsevier, 2021, 69, ⟨10.1016/j.media.2020.101950⟩
Segmentation of abdominal organs has been a comprehensive, yet unresolved, research field for many years. In the last decade, intensive developments in deep learning (DL) introduced new state-of-the-art segmentation systems. Despite outperforming the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::062a182f507db13c73a8422353093c1a
https://hdl.handle.net/10278/3736173
https://hdl.handle.net/10278/3736173